Mark Eisen
Mark Eisen
PhD Candidate, Electrical and Systems Engineering, University of Pennsylvania
Verified email at seas.upenn.edu - Homepage
TitleCited byYear
Authorship attribution through function word adjacency networks
S Segarra, M Eisen, A Ribeiro
IEEE Transactions on Signal Processing 63 (20), 5464-5478, 2015
572015
Authorship attribution through function word adjacency networks
S Segarra, M Eisen, A Ribeiro
IEEE Transactions on Signal Processing 63 (20), 5464-5478, 2015
572015
Decentralized quasi-Newton methods
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 65 (10), 2613-2628, 2017
422017
IQN: An incremental quasi-Newton method with local superlinear convergence rate
A Mokhtari, M Eisen, A Ribeiro
SIAM Journal on Optimization 28 (2), 1670-1698, 2018
182018
Attributing the authorship of the Henry VI plays by word adjacency
S Segarra, M Eisen, G Egan, A Ribeiro
Shakespeare Quarterly 67 (2), 232-256, 2016
182016
Learning optimal resource allocations in wireless systems
M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro
IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019
162019
A decentralized quasi-Newton method for dual formulations of consensus optimization
M Eisen, A Mokhtari, A Ribeiro
2016 IEEE 55th Conference on Decision and Control (CDC), 1951-1958, 2016
122016
Learning in wireless control systems over nonstationary channels
M Eisen, K Gatsis, GJ Pappas, A Ribeiro
IEEE Transactions on Signal Processing 67 (5), 1123-1137, 2018
92018
Large scale empirical risk minimization via truncated adaptive newton method
M Eisen, A Mokhtari, A Ribeiro
Proceedings of the Twenty-First International Conference on Artificial …, 2018
92018
Stylometric analysis of Early Modern period English plays
M Eisen, A Ribeiro, S Segarra, G Egan
Digital Scholarship in the Humanities 33 (3), 500-528, 2017
82017
Learning in non-stationary wireless control systems via Newton's method
M Eisen, K Gatsis, GJ Pappas, A Ribeiro
2018 Annual American Control Conference (ACC), 1410-1417, 2018
42018
An asynchronous quasi-Newton method for consensus optimization
M Eisen, A Mokhtari, A Ribeiro
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
42016
Control aware radio resource allocation in low latency wireless control systems
M Eisen, MM Rashid, K Gatsis, D Cavalcanti, N Himayat, A Ribeiro
IEEE Internet of Things Journal, 2019
22019
Learning statistically accurate resource allocations in non-stationary wireless systems
M Eisen, K Gatsis, GJ Pappas, A Ribeiro
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
A primal-dual Quasi-Newton method for consensus optimization
M Eisen, A Mokhtari, A Ribeiro
2017 51st Asilomar Conference on Signals, Systems, and Computers, 298-302, 2017
12017
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
Z Gao, M Eisen, A Ribeiro
arXiv preprint arXiv:1906.09981, 2019
2019
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning
M Eisen, MM Rashid, D Cavalcanti, A Ribeiro
arXiv preprint arXiv:1906.06225, 2019
2019
Dual Domain Learning of Optimal Resource Allocations in Wireless Systems
M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2019
Control Aware Communication Design for Time Sensitive Wireless Systems
M Eisen, MM Rashid, K Gatsis, D Cavalcanti, N Himayat, A Ribeiro
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2019
A Response to Pervez Rizvi’s Critique of the Word Adjacency Method for Authorship Attribution
S Segarra, M Eisen, G Egan, A Ribeiro
ANQ: A Quarterly Journal of Short Articles, Notes and Reviews, 1-6, 2019
2019
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Articles 1–20